Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA104185 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series:; GSE6581: Expression data from mammary glands of transgenic mice; GSE6596: Comparison of gene expression data from human and mouse breast cancers: Identification of conserved breast tumor genes Experiment Overall Design: Refer to individual Series
2008-06-15 | E-GEOD-6772 | biostudies-arrayexpress
Project description:The aim of our work was the comparison of human and mouse gene expression data and to identify a conserved breast tumor gene set. The results encourage the usefulness of transgenic mice as a model for human breast cancer formation and therapy. Keywords: Comparison of gene expression data
2007-01-12 | GSE6596 | GEO
Project description:The aim of our work was the comparison of human and mouse gene expression data and to identify a conserved breast tumor gene set. The results encourage the usefulness of transgenic mice as a model for human breast cancer formation and therapy. Keywords: Comparison
2006-12-20 | GSE6581 | GEO
Project description:The aim of our work was the comparison of human and mouse gene expression data and to identify a conserved breast tumor gene set. The results encourage the usefulness of transgenic mice as a model for human breast cancer formation and therapy. Keywords: Comparison of gene expression data The aim of our work was to establish a database for breast cancer gene expression data in order to compare human and mouse breast cancer. We identified human and mouse homologues genes and compared the expression profile of 24 human breast tumors with six WAP-SVT/t breast tumors (WAP-SVT/t animals, line 8). Our studies confirmed the heterogeneity in gene expression of human as well as mouse breast cancer cells. However, 63 genes were found to be differentially expressed (upregulated: 40; downregulated: 23 genes) in at least 75% of the breast tumors of both species.
2007-01-12 | E-GEOD-6596 | biostudies-arrayexpress
Project description:Type I, II, III and V collagens were commonly identified in human, pig, and mouse breast ECM. Mammary epithelial cells were able to form acini on certain types or combinations of the four collagens at normal breast tissue stiffness levels. Comparison of the collagen species in mouse normal breast and breast tumor ECM revealed common and distinct sets of collagens within the two types of tissues. Elevated collagen type I alpha 1 chain expression was found in human breast cancers. Collagen type XXV alpha 1 chain was identified in mouse breast tumors but not in normal breast tissues. Our data provide insights into modeling human breast pathophysiological structures and functions using native tissue-derived hydrogels and potential contributions of different collagen types or their monomers in breast cancer development.
2023-03-11 | PXD037900 | Pride
Project description:Type I, II, III and V collagens were commonly identified in human, pig, and mouse breast ECM. Mammary epithelial cells were able to form acini on certain types or combinations of the four collagens at normal breast tissue stiffness levels. Comparison of the collagen species in mouse normal breast and breast tumor ECM revealed common and distinct sets of collagens within the two types of tissues. Elevated collagen type I alpha 1 chain expression was found in human breast cancers. Collagen type XXV alpha 1 chain was identified in mouse breast tumors but not in normal breast tissues. Our data provide insights into modeling human breast pathophysiological structures and functions using native tissue-derived hydrogels and potential contributions of different collagen types or their monomers in breast cancer development.
2023-03-11 | PXD037920 | Pride
Project description:The aim of our work was the comparison of human and mouse gene expression data and to identify a conserved breast tumor gene set. The results encourage the usefulness of transgenic mice as a model for human breast cancer formation and therapy. Experiment Overall Design: The aim of our work was to establish a database for breast cancer gene expression data in order to compare human and mouse breast cancer. We identified human and mouse homologues genes and compared the expression profile of 24 human breast tumors with six WAP-SVT/t breast tumors (WAP-SVT/t animals, line 8). Our studies confirmed the heterogeneity in gene expression of human as well as mouse breast cancer cells. However, 63 genes were found to be differentially expressed (upregulated: 40; downregulated: 23 genes) in at least 75% of the breast tumors of both species.
2008-06-14 | E-GEOD-6581 | biostudies-arrayexpress
Project description:A large number of DNA copy number alterations (CNAs) exist in human breast cancers, and thus characterizing the most frequent ones is key to advancing therapeutics because it is likely that these recurrent CNAs contain breast tumor ‘drivers’ (i.e. causal genes). Here, we have comprehensively profiled a large set of human breast tumors and mouse models of mammary cancers using DNA copy number and gene expression microarrays. By using an across species genetic conservation approach, we identified common altered regions/genes that were similarly altered in both human and mouse breast tumors; additionally, we further demonstrate that many of these conserved CNA regions are also expression-subtype specific, such as the common gain of 1q21-23, or loss of 5q in mouse and human Basal-like cancers. Published functional studies further validated likely driver genes from these regions including Nicastrin (NCSTN) on 1q23 in Basal-like breast cancers. The ability to integrate copy number, and expression data, from mouse and human breast tumors identified at least 25 regions of shared subtype specific alternations, which has identified a number of known drivers and a few regions that merit additional studies.
2014-12-31 | GSE52173 | GEO
Project description:Aged STAT1-/- female mice spontaneously develop ERa+ PR+ mammary tumors that exhibit strikingly similar hormone-sensitivity and -dependency as human ERa+ luminal breast cancers. We used microarray data to compare the genetic relationships between the STAT1-/- mammary tumors and human breast cancers. We compared five STAT1-/- mammary tumor datasets with the publicaly available datasets of human breast cancers and those from other mouse mammary tumor models.
2011-12-15 | E-GEOD-31942 | biostudies-arrayexpress